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: Probabilistic logic programming in action

: In Andreas Holzinger, Randy Goebel, Massimo Ferri, and Vasile Palade, editors, Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers, volume 10344 of Lecture Notes in Computer Science, pages 89--116. Springer, Heidelberg, Germany, © Springer, 2017. The final publication is available at Springer via


In this paper, we  present quick overview of the features of current languages and systems for PLP. To show the modeling features and the maturity of PLP, we present several examples including a simple generator of random 2D tile maps, an encoding of Markov Logic Networks, the truel game, the coupon collector problem, the one dimensional random walk, latent Dirichlet allocation and the Indian GPA problem.

Veröffentlicht am: Towards Integrative Machine Learning and Knowledge Extraction

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